Thomas Li

656 total citations
24 papers, 368 citations indexed

About

Thomas Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Thomas Li has authored 24 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Thomas Li's work include Human Pose and Action Recognition (6 papers), Lung Cancer Diagnosis and Treatment (5 papers) and Anomaly Detection Techniques and Applications (5 papers). Thomas Li is often cited by papers focused on Human Pose and Action Recognition (6 papers), Lung Cancer Diagnosis and Treatment (5 papers) and Anomaly Detection Techniques and Applications (5 papers). Thomas Li collaborates with scholars based in China, United States and Hong Kong. Thomas Li's co-authors include Shan Liu, Ge Li, Jia-Xing Zhong, Weihong Lin, Wei Gao, Stephen Neuendorffer, Yiting Shao, Fei Song, Farshid Guilak and Pei Zhong and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Radiology and IEEE Access.

In The Last Decade

Thomas Li

23 papers receiving 362 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Thomas Li China	10	197	51	50	44	41	24	368
Amjad Khan Malaysia	10	153 0.8×	30 0.6×	97 1.9×	66 1.5×	51 1.2×	20	308
Hang Shao China	10	131 0.7×	35 0.7×	82 1.6×	38 0.9×	13 0.3×	28	334
Mohammad Reza Ahmadzadeh Iran	12	191 1.0×	26 0.5×	127 2.5×	51 1.2×	28 0.7×	38	492
Shijie Zhang China	12	181 0.9×	59 1.2×	125 2.5×	109 2.5×	7 0.2×	47	480
Jianzhong Cao China	12	267 1.4×	26 0.5×	117 2.3×	34 0.8×	21 0.5×	91	544
A. Mecocci Italy	10	146 0.7×	16 0.3×	24 0.5×	141 3.2×	17 0.4×	29	355
A. Moga Germany	8	274 1.4×	22 0.4×	44 0.9×	22 0.5×	29 0.7×	13	397
Yunxin Li China	12	66 0.3×	19 0.4×	79 1.6×	21 0.5×	20 0.5×	48	535
Zhifang Xia China	11	369 1.9×	65 1.3×	41 0.8×	20 0.5×	11 0.3×	17	586

Countries citing papers authored by Thomas Li

Since Specialization

Citations

This map shows the geographic impact of Thomas Li's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Thomas Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Li more than expected).

Fields of papers citing papers by Thomas Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas Li. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Thomas Li. The network helps show where Thomas Li may publish in the future.

Co-authorship network of co-authors of Thomas Li

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Li. A scholar is included among the top collaborators of Thomas Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thomas Li. Thomas Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Li, Thomas, Kaiwen Xu, Riqiang Gao, et al.. (2025). Performance of Lung Cancer Prediction Models for Screening-detected, Incidental, and Biopsied Pulmonary Nodules. PubMed Central. 7(2). e230506–e230506. 1 indexed citations

Li, Thomas, Kaiwen Xu, Heidi Chen, et al.. (2024). Curating retrospective multimodal and longitudinal data for community cohorts at risk for lung cancer. Cancer Biomarkers. 42(1). CBM230340–CBM230340.

Xu, Kaiwen, Thomas Li, Riqiang Gao, et al.. (2023). AI Body Composition in Lung Cancer Screening: Added Value Beyond Lung Cancer Detection. Radiology. 308(1). e222937–e222937. 33 indexed citations

Heideman, Brent E., Michael N. Kammer, See‐Wei Low, et al.. (2023). The Lung Cancer Prediction Model “Stress Test”. PubMed. 2(1). 100033–100033. 1 indexed citations

Gao, Riqiang, Thomas Li, Yucheng Tang, et al.. (2022). Reducing uncertainty in cancer risk estimation for patients with indeterminate pulmonary nodules using an integrated deep learning model. Computers in Biology and Medicine. 150. 106113–106113. 12 indexed citations

Li, Zhuangzi, et al.. (2021). Information-Growth Attention Network for Image Super-Resolution. 544–552. 15 indexed citations

Chen, Yuanqi, et al.. (2021). SSD-GAN: Measuring the Realness in the Spatial and Spectral Domains. Proceedings of the AAAI Conference on Artificial Intelligence. 35(2). 1105–1112. 27 indexed citations

Song, Fei, et al.. (2021). Layer-Wise Geometry Aggregation Framework for Lossless LiDAR Point Cloud Compression. IEEE Transactions on Circuits and Systems for Video Technology. 31(12). 4603–4616. 36 indexed citations

Li, Thomas, Lewis Tseng, Takamasa Higuchi, Seyhan Uçar, & Onur Altintas. (2021). Poster: Fault-tolerant Consensus for Connected Vehicles: A Case Study. Clark Digital Commons (Clark University). 133–134. 2 indexed citations

10.

Lin, Weihong, Jia-Xing Zhong, Shan Liu, Thomas Li, & Ge Li. (2020). ROIMIX: Proposal-Fusion Among Multiple Images for Underwater Object Detection. 2588–2592. 109 indexed citations

11.

Zhang, Tao, et al.. (2020). Regression Before Classification for Temporal Action Detection. 39. 1–5. 4 indexed citations

12.

Zhu, Chunbiao, et al.. (2019). Salient Contour-Aware Based Twice Learning Strategy for Saliency Detection. 2541–2548. 6 indexed citations

13.

Kong, Weijie, Nannan Li, Shan Liu, Thomas Li, & Ge Li. (2019). BLP - Boundary Likelihood Pinpointing Networks for Accurate Temporal Action Localization. 1647–1651. 1 indexed citations

14.

Li, Nannan, et al.. (2019). Spatial–Temporal Context-Aware Online Action Detection and Prediction. IEEE Transactions on Circuits and Systems for Video Technology. 30(8). 2650–2662. 20 indexed citations

15.

Li, Thomas, Cheng Gao, Chao Yan, et al.. (2018). Predicting Neonatal Encephalopathy From Maternal Data in Electronic Medical Records.. PubMed. 2017. 359–368. 3 indexed citations

16.

Li, Nannan, Huiwen Guo, Yang Zhao, Thomas Li, & Ge Li. (2018). Active Temporal Action Detection in Untrimmed Videos Via Deep Reinforcement Learning. IEEE Access. 6. 59126–59140. 7 indexed citations

17.

Orlicki, Joshua A., et al.. (2017). Plasmonic gold nanostars as optical nano-additives for injection molded polymer composites. Nanotechnology. 28(40). 405304–405304. 3 indexed citations

18.

Han, Bing, Jun Chen, Chen Yang, et al.. (2017). Dynamics study of a laser-induced bubble on a finite metallic surface in water. AIP Advances. 7(7). 5 indexed citations

19.

Neuendorffer, Stephen, et al.. (2013). Accelerating OpenCV Applications with Zynq-7000 All Programmable SoC using Vivado HLS Video Libraries. 26 indexed citations

20.

Li, Thomas, et al.. (2005). 10% from renewables? The potential contribution from an HK schools PV installation programme. Renewable Energy. 31(11). 1665–1672. 10 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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